2215 questions found.

Page 15 / 45

Within the "criteria" parameter list for the "PARALLEL" type, you can set "nSimulations" (defaults to 10,000), "alpha" (critical value, defaults to 0.05), and "seed" for the pseudorandom number generator....
Read full answer See technical action

Yes, by setting the "priors" parameter type to "INPUT". You must then provide the specific estimates using the "values" subparameter....
Read full answer See technical action

The "threshold" parameter specifies cutoff values used only by the "EIGENVALUE" and "PROPORTION" criteria. If not specified, the default value is 1.0....
Read full answer See technical action

You can specify the "weight" parameter with the name of a numeric variable to use as a weight. Additionally, the "varianceDivisor" parameter can be adjusted to "DF", "N", "WDF", or "WEIGHT" to control how variances and covariances are calculated....
Read full answer See technical action

The fastIca action computes independent components using the fastICA method....
Read full answer See technical action

Use the gFunction parameter. It accepts "EXP" for the exponential function or "LOGCOSH" for the log-cosh function (which is the default)....
Read full answer See technical action

You can configure it using the method parameter, which requires a 'name' subparameter set to "DEFLATION" or "SYMMETRIC". Optional subparameters include 'maxIter' (default 500) and 'tolerance' (default 0.0001)....
Read full answer See technical action

To suppress centering, set the noCenter parameter to TRUE. To suppress scaling, set the noScale parameter to TRUE....
Read full answer See technical action

The eigenThreshold parameter specifies the minimum proportion of variance an eigenvalue must explain to be included in the analysis; otherwise, it is discarded....
Read full answer See technical action

Use the n parameter. If you set n to 0 (the default value), the action computes the same number of independent components as there are numeric variables analyzed....
Read full answer See technical action

The fastknn action performs a k-nearest neighbor search using the specified input tables....
Read full answer See technical action

The action requires the 'query' parameter, which specifies the query input data table containing query observations, and the 'table' parameter, which specifies the settings for the input table to search against....
Read full answer See technical action

The 'distanceMetric' parameter supports 'COSINE' (cosine distance), 'IP' (inner product), and 'L2' (Euclidean distance). The default value is 'L2'....
Read full answer See technical action

By setting the 'impute' parameter to TRUE, observations with missing values in the query data table can be imputed using the k-nearest-neighbors method. The default is FALSE....
Read full answer See technical action

The 'method' parameter allows you to choose between 'APPROXIMATE' (approximate search) and 'EXACT' (exact search). The default method is 'EXACT'....
Read full answer See technical action

The 'efConstruction' parameter specifies the number of neighbors to consider during graph construction. The default value is 200, and the minimum is 1....
Read full answer See technical action

You can specify the number of neighbors to be returned using the 'k' parameter. The default value is 2....
Read full answer See technical action

The action can create an 'outDist' table (for computed distances), an 'outImpute' table (for query data after imputation), and an 'output' table (casOut) for the computed neighbors....
Read full answer See technical action

When set to TRUE, the 'useTopKOutDist' parameter specifies that only the top k nearest distances should be output to the outDist parameter table....
Read full answer See technical action

The featureMachine action serves as an automated feature transformation and generation engine. It is designed to automate data science workflows by exploring, executing, and ranking machine learning pipelines....
Read full answer See technical action

To run the action, you must specify the "table" parameter (input data), the "target" parameter (target variable), the "featureOut" parameter (to store feature pipelines), and the "transformationOut" parameter (to store transformation pipelines)....
Read full answer See technical action

The explorationPolicy parameter specifies the policy for automatic variable analysis and grouping (AVAPT). It contains sub-parameters to configure analysis based on cardinality, coefficient of variation (cv), entropy, index of qualitative variation (iqv), kurtosis, missing values, nominal variable h...
Read full answer See technical action

You can use the "screenPolicy" parameter to recommend which variables should be screened out, transformed, or copied. It supports policies for detecting constant variables, grouping rare levels, identifying leakage, and filtering based on low coefficient of variation or high missing rates....
Read full answer See technical action

The transformationPolicy parameter defines the scope of feature transformations and generations the machine will perform. It allows you to enable or disable specific transformation types such as those for cardinality reduction, entropy, interactions, kurtosis, missing value treatment, outlier treatm...
Read full answer See technical action

The "distinctCountLimit" parameter sets a limit (default is 10,000). If this limit is exceeded and the "misraGries" parameter is set to TRUE (which is the default), the action uses the Misra-Gries frequency sketch algorithm to estimate the distribution. Otherwise, the operation may be aborted....
Read full answer See technical action

Yes, you can use the "saveState" parameter to specify a CAS table where the feature transformation and generation model will be stored....
Read full answer See technical action

In the "rankPolicy", the "intervalStat" parameter offers several options including AVGQUANKURT, AVGQUANSKEW, CLASSICALKURT, CLASSICALSKEW, ENTROPY, MI (Mutual Information), NORMMI (Normalized Mutual Information), PEARSON, and SU (Symmetric Uncertainty)....
Read full answer See technical action

The fetch action is used to fetch rows from a table or view....
Read full answer See technical action

You can use the "fetchVars" parameter to specify a list of column names to retrieve. If this parameter is omitted, all columns are fetched....
Read full answer See technical action

You can use the "where" parameter within the "table" parameter object to provide a filter expression....
Read full answer See technical action

Yes, you can use the "sortBy" (or "orderBy") parameter to specify one or more variables to sort by, along with the sort order (ASCENDING or DESCENDING)....
Read full answer See technical action

You can use the "maxRows" parameter to define the maximum number of rows to return. Additionally, the "from" and "to" parameters can be used to specify a range of rows by ordinal position....
Read full answer See technical action

When set to TRUE, the "sasTypes" parameter converts data to fixed-width character and double data types....
Read full answer See technical action

You can set the "index" parameter to TRUE to add a column named Index to the results....
Read full answer See technical action

The fetchImages action fetches images from a table for displaying....
Read full answer See technical action

The `table` parameter (alias `imageTable`) is used to specify the input table that contains image data....
Read full answer See technical action

Use the `fetchImagesVars` parameter (alias `fetchVars`) to specify the list of variable names to copy from the input table to the output table....
Read full answer See technical action

You can use the `from` parameter to specify the starting ordinal position (default 0) and the `to` parameter to specify the ending ordinal position (default 20)....
Read full answer See technical action

The default column name for image binaries is `_image_`, but you can specify a different name using the `image` parameter....
Read full answer See technical action

You can use the `sortBy` parameter (alias `orderBy`) to specify a list of variables to sort by, including options for sort order (`ASCENDING` or `DESCENDING`) and whether to use formatted values....
Read full answer See technical action

The `seed` parameter specifies a 64-bit integer seed for writing images randomly. The default value is 0....
Read full answer See technical action

The `images` parameter describes the input image table structure, including column names for `dimension`, `id`, `image`, `imageFormat`, `label`, `path`, `resolution`, `size`, and `type`....
Read full answer See technical action

The fetchresult action is used to fetch the specified saved result for a session....
Read full answer See technical action

The 'id' parameter is used to specify the results ID, which is a 64-bit integer. The default value is 0....
Read full answer See technical action

You can use the 'tag' parameter to specify a string as the tag for the results....
Read full answer See technical action

The fetchresult action belongs to the Session Methods Action Set....
Read full answer See technical action

The fileInfo action is used to list the files contained within a caslib's data source....
Read full answer See technical action

You can set the 'allFiles' parameter to TRUE. The default is FALSE, which only lists file types supported by the specific data connector....
Read full answer See technical action

The 'path' parameter specifies the file, directory, or table name. It supports wildcard characters (% and _) to filter results based on a pattern....
Read full answer See technical action

Set the 'rowCount' parameter to TRUE. Be aware that some data sources may not support this parameter. The default value is FALSE....
Read full answer See technical action
Copyright © WeAreCAS 2014-2026
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. WeAreCAS is an independent community site and is not affiliated with SAS Institute Inc.